Abstract INTRODUCTION: Coronavirus disease 2019 (COVID-19) has become a global public health emergency with lethality ranging from 1% to 5%. This study aimed to identify active high-risk transmission clusters of COVID-19 in Sergipe. METHODS: We performed a prospective space-time analysis using confirmed cases of COVID-19 during the first 7 weeks of the outbreak in Sergipe. RESULTS: The prospective space-time statistic detected “active” and emerging spatio-temporal clusters comprising six municipalities in the south-central region of the state. CONCLUSIONS: The Geographic Information System (GIS) associated with spatio-temporal scan statistics can provide timely support for surveillance and assist in decision-making.
【저자키워드】 COVID-19, pandemic, Spatial analysis, Disease surveillance, Space-time clusters, 【초록키워드】 Coronavirus disease 2019, Surveillance, outbreak, Cluster, Analysis, Support, confirmed case, global public health, System, identify, performed, assist, Geographic, transmission cluster, 【제목키워드】 public health, implication, spatiotemporal,